Research Article
Energy-Efficient Resource Allocation in Distributed Antenna Systems
@INPROCEEDINGS{10.1007/978-3-319-66625-9_10, author={Xiaoge Huang and Weipeng Dai and Zhifang Zhang and Qiong Huang and Qianbin Chen}, title={Energy-Efficient Resource Allocation in Distributed Antenna Systems}, proceedings={Communications and Networking. 11th EAI International Conference, ChinaCom 2016, Chongqing, China, September 24-26, 2016, Proceedings, Part I}, proceedings_a={CHINACOM}, year={2017}, month={10}, keywords={Distributed antenna systems Energy efficiency Resource allocation}, doi={10.1007/978-3-319-66625-9_10} }- Xiaoge Huang
Weipeng Dai
Zhifang Zhang
Qiong Huang
Qianbin Chen
Year: 2017
Energy-Efficient Resource Allocation in Distributed Antenna Systems
CHINACOM
Springer
DOI: 10.1007/978-3-319-66625-9_10
Abstract
In this paper, we introduce an energy-efficient resource allocation scheme in distributed antenna systems (DASs). Throughout the paper, the resource allocation includes distributed antenna units (DAU) selection, subcarriers assignment and power allocation. Our aim is to optimize energy efficiency (EE) of the whole system, which is defined as the ratio of total data rate to total consumed power, under the constraints of the overall transmit power of each DAU and minimum required data rate of each user. Due to the mixed combinatorial features of the formulation, we focus on low-complexity suboptimal algorithm design. Firstly, a joint DAU selection and subcarriers assignment algorithm is developed with equal power allocation. Secondly, EE maximization problem is a non-convex fractional programming problem, we transform the problem into a subtractive form, then solve it by using the Lagrangian dual decomposition. The simulation results show the convergence performance, and demonstrate the advantage of the proposed resource allocation scheme compared with the random resource allocation scheme.